Aggregating and visualizing public opinions and sentiment trends on the US higher education

Guanghua Qiu, Ramya R. Ravi, Lawrence L. Qiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Through leveraging big data technologies and a quantitative and model-driven approach, we previously built an education monitoring and ranking system (eduMRS) that allowed us to change ranking factors that are used to assess quality of higher education. Taking a systems perspective, this short paper introduces an enhanced eduMRS - II that can effectively aggregate and visualize public opinions and sentiment trends on higher education services. Public opinions can be selectively retrieved from online media including tweets. This enhanced service system demonstrates that a big data based, real time, and interactive computer application possesses promising potential of facilitating decision-making of addressing the needs of customers in the service industry.

Original languageEnglish (US)
Title of host publication17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450334914
DOIs
StatePublished - Dec 11 2015
Event17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Brussels, Belgium
Duration: Dec 11 2015Dec 13 2015

Other

Other17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015
CountryBelgium
CityBrussels
Period12/11/1512/13/15

Fingerprint

Education
Computer applications
Monitoring
Decision making
Industry
Big data

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Computer Science Applications

Cite this

Qiu, G., Ravi, R. R., & Qiu, L. L. (2015). Aggregating and visualizing public opinions and sentiment trends on the US higher education. In 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings [33] Association for Computing Machinery, Inc. https://doi.org/10.1145/2837185.2837261
Qiu, Guanghua ; Ravi, Ramya R. ; Qiu, Lawrence L. / Aggregating and visualizing public opinions and sentiment trends on the US higher education. 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings. Association for Computing Machinery, Inc, 2015.
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Qiu, G, Ravi, RR & Qiu, LL 2015, Aggregating and visualizing public opinions and sentiment trends on the US higher education. in 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings., 33, Association for Computing Machinery, Inc, 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015, Brussels, Belgium, 12/11/15. https://doi.org/10.1145/2837185.2837261

Aggregating and visualizing public opinions and sentiment trends on the US higher education. / Qiu, Guanghua; Ravi, Ramya R.; Qiu, Lawrence L.

17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings. Association for Computing Machinery, Inc, 2015. 33.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Qiu G, Ravi RR, Qiu LL. Aggregating and visualizing public opinions and sentiment trends on the US higher education. In 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings. Association for Computing Machinery, Inc. 2015. 33 https://doi.org/10.1145/2837185.2837261